Abstract
Cognitive Radio provides an effective approach to improve the spectrum utilization. Spectrum allocation for cognitive radio networks is a multi-objective and interference-constraint optimization problem. This paper mainly discussed spectrum allocation performances based on genetic algorithm for cognitive networks and a Max-Overall-Performance algorithm is proposed, which best result of allocation is achieved with target of maximizing system’s overall performance. The simulation results show that the proposed MOP algorithm unifies system’s sum bandwidth reward and cognitive users’ access fairness.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wen, K., Fu, L., Li, X. (2011). Genetic Algorithm Based Spectrum Allocation for Cognitive Radio Networks. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_87
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DOI: https://doi.org/10.1007/978-3-642-25541-0_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25540-3
Online ISBN: 978-3-642-25541-0
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